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Researcher Evidence Record

Gilles Hacheme

This bounded record lists 8 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.CL, cs.CV, stat.ML work dated 2021 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 3 fields (cs.CL, cs.CV, stat.ML) · 2021-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data

    cs.CV provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    5
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  2. 2024 Pith paper

    Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation

    cs.CV provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  3. 2023 Pith paper

    FonMTL: Towards Multitask Learning for the Fon Language

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2023 Pith paper

    AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    10
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  5. 2022 Pith paper

    A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    21
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 external cited by from pith
    • 1 pith inbound references from cited_work_pith_inbound_counts
  6. 2022 Pith paper

    GAM(L)A: An econometric model for interpretable Machine Learning

    stat.ML provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  7. 2021 Pith paper

    English2Gbe: A multilingual machine translation model for {Fon/Ewe}Gbe

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  8. 2021 Pith paper

    Neural Fashion Image Captioning : Accounting for Data Diversity

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Gilles Hacheme
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 8 of 8 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 2 of 8 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 3 of 8 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 50 of 8 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Gilles Hacheme
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • cs.CL4 rows
  • cs.CV3 rows
  • stat.ML1 rows
  • 20212 rows
  • 20222 rows
  • 20232 rows
  • 20241 rows
  • 20251 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.